See https://en.wikipedia.org/wiki/Business_class_airline for a small number of examples

Thank you for the link: it proves my point. Most of business-only airlines did not survive, the only two that survived had to add economy class.

While it’s interesting to see renderings in past styles graphic design, ultimately it’s going to ring false. Even if it’s executed well it’s just a costume or pastiche, with no real connection to the style.

What made these historical design movements actually memorable was usually a set of newly-possible techniques joined with young people with a set of shared community values.

So if you want to make something that will read as authentically “2026” to future generations, you should make brainrot. :-)

I think you’re right that some of the angst here is due to a fairly insular community having its culture disturbed by commercial forces.

That fairly insular community pretty much gave up on commercial success in order to be insular. But the commercial forces were not happy being commercially successful, so they decided to disturb even their insular and commercially-unviable activities.

(academic.) Unfortunately the overwhelming majority of outsiders are missing core knowledge (or are cranks), so the optimal prior from a time management perspective is to ignore them. AI just makes engaging more costly because there’s more volume and it’s harder to get signal on whether they know what they are talking about.

Zuck & co released Wirehog in late 2004… https://en.wikipedia.org/wiki/Wirehog

The book “Strangers in Their Own Land” covers similar ground.

> Researchers expect it will remain the most comprehensive 2D map of our universe for years to come.

This is Rubin Observatory erasure

Roman was literally donated to NASA by the National Reconnaissance Office https://en.wikipedia.org/wiki/2012_National_Reconnaissance_O...

It was donated without CCDs or electronics, which is what makes the difference between earth and space observation satellites. NASA only got the body and optics (mirrors), they had to provide their own sensors.

The new “concise” output option that just shipper in Claude Code seems to help.

Note that those jobs are miserable: https://nymag.com/intelligencer/article/white-collar-workers...

Yes. But there is also no other choice for people in these professions. The underlying job has been automated already. What's left is automating the last leg.

If you consider a 5-year outlook, it is also a very temporary job unless you're like a specialist neurosurgeon or something, as one of the examples in that article shows:

> The on-again, off-again nature of the work is not just the result of company culture; it stems from the cadence of AI development itself. People across the industry described the pattern. A model builder, like OpenAI or Anthropic, discovers that its model is weak on chemistry, so it pays a data vendor like Mercor or Scale AI to find chemists to make data. The chemists do tasks until there is a sufficient quantity for a batch to go back to the lab, and the job is paused until the lab sees how the data affects the model. Maybe the lab moves forward, but this time, it’s asking for a slightly different type of data. When the job resumes, the vendor discovers the new instructions make the tasks take longer, which means the cost estimate the vendor gave the lab is now wrong, which means the vendor cuts pay or tries to get workers to move faster. The new batch of data is delivered, and the job is paused once more. Maybe the lab changes its data requirements again, discovers it has enough data, and ends the project or decides to go with another vendor entirely. Maybe now the lab wants only organic chemists and everyone without the relevant background gets taken off the project. Next, it’s biology data that’s in demand, or architectural sketches, or K–12 syllabus design.